ITA is stacked , and you need to know what aisles that data is in , where the boxes are and what shelves they ’ re on . You need to know how to query it , you need to know how to get that information . But then you have a data lake , and water has no shape . There ’ s a lot of data , but you need experts who know how to query it .
“ AI knows where all of that information is , so it can help establish those relationships between information and help you become a data-driven organisation . I think AI is very important to be able to get that information quickly .”
By harnessing the capabilities of machine learning and predictive analytics , the ITA also seeks to proactively identify and mitigate cyber threats while empowering users with real-time insights and recommendations .
“ To do cybersecurity , we have so many tools and they ’ re producing so much data , and for a human , it takes a while to correlate and figure out what that data is telling you , and there ’ s so much data , you can ’ t look at it all . AI can start making sense of that , and machine learning can start finding trends . I think we will be leveraging AI to take all that telemetry that we have coming in and make
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